3 часа назад
AI Data Pipeline Engineers (Autonomous Driving)
133 000 - 254 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Pipeline Engineer (Autonomous Driving): Building scalable data extraction, labeling, lakehouse, and serving pipelines for millions of autonomous-driving scenes with an accent on Python SDKs, ML lifecycle integration, and high-performance distributed processing. Focus on designing reliable data infrastructure, optimizing processing and search latency, and integrating sensor, calibration, and annotation data with autonomous-driving algorithms.
Location: Sunnyvale, United States; hybrid work
Salary: $133,000–$254,000 per year, plus bonus opportunities
Company
is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies for autonomous and connected mobility.
What you will do
- Build scalable, reliable pipelines that extract millions of raw fleet-data records and convert them into high-value autonomous-driving scenes.
- Develop data-labeling pipelines with auto-labeling inference for autonomous-driving algorithms.
- Develop SDKs for scene-data search, dataset preparation, and dataset loading.
- Build and maintain a data lakehouse containing sensor, calibration, and annotation data.
- Identify and resolve performance bottlenecks across data processing, data search, and test-procedure coverage.
- Collaborate with ML algorithm, ML application, and cloud infrastructure teams on the autonomous-driving system architecture.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.
- At least 7 years of experience in Data Engineering, DataOps, or ML Platform roles.
- Strong Python skills and hands-on experience developing Python SDKs.
- Experience orchestrating data pipelines with Databricks Workflows or Apache Airflow and integrating them with machine-learning models.
- Experience with databases such as MongoDB or PostgreSQL, data warehouses or lakehouses such as Hive or Delta Lake, and big-data engines such as Apache Spark.
- Strong leadership and communication skills with experience leading technical projects.
Nice to have
- Experience with autonomous-vehicle sensor data, including LiDAR, camera, or radar.
- Experience with the ML model lifecycle, including data preparation, training, validation, and deployment.
- Knowledge of modern AI frameworks such as PyTorch or TensorFlow.
- Knowledge of data governance and privacy regulations, with experience implementing data-security measures.
Culture & Benefits
- Work on safety-first, user-centric software-defined vehicle technologies.
- Collaborate across autonomous-driving, machine-learning, and cloud-infrastructure functions.
- Bonus opportunities are available in addition to base salary.
- is an equal opportunity employer and encourages applications from U.S. veterans and qualified individuals with disabilities.
Hiring process
- Application review, coding test, first interview, second interview, offer negotiation, and hiring.
- Screening stages and schedules may vary by position and circumstances.
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